A practical, data-informed guide to reading the hiring market, building proof of skills, and making your next application stronger.
Tech hiring is moving—but not every candidate feels it yet
If you’re a fresher refreshing job portals, sending applications and hearing very little back, the hiring headlines can feel confusing. One report says tech openings are climbing. Another says entry-level opportunities are still tight. Both can be true at the same time.
India’s tech hiring market showed signs of recovery in October 2026. The Times of India, reporting on staffing firm Xpheno’s Active Tech Jobs Outlook, said active technology openings reached around 1.2 lakh in October—up 17% year on year and 5% month on month. But the same report noted that entry-level openings fell 6% compared with September, even though they remained 15% above October last year.
That’s the important distinction for job seekers: a stronger overall market does not automatically mean an easy market for fresh graduates. Hiring can rise in experienced roles, specialist areas or certain cities while entry-level competition stays intense.
What the latest numbers actually tell us
A separate Naukri JobSpeak update for September 2026 reported that overall white-collar hiring was up 2% year on year, while AI and machine-learning roles grew 20%. Fresher hiring, by comparison, increased just 1%. The report also showed differences across sectors and cities, which is a reminder not to treat India’s job market as one uniform story.
These figures come from different reports and use different measures: Xpheno tracks active technology openings, while Naukri JobSpeak tracks white-collar hiring trends. They are useful signals, not direct forecasts of how many jobs a particular graduate will get. Still, together they point to a practical lesson: choose your target roles carefully and show employers evidence that you can contribute.
Why ‘I have a degree’ may not be enough
A degree tells an employer what you studied. It may not show how you approach a messy problem, explain a technical decision, work with tools used on the job, or finish a project when the instructions aren’t perfectly clear.
This does not make degrees irrelevant, and it certainly doesn’t mean every fresher needs to become an AI engineer. It means candidates should connect their education to the work they want to do. The more clearly you can show that connection, the easier it becomes for a recruiter or hiring manager to assess your fit.
Five moves that can make your job search stronger
1. Pick a role before picking a course
Instead of collecting certificates because they are popular, choose one or two job titles you would genuinely apply for. Read 10–15 current job descriptions. Note the skills and tools that appear repeatedly, then prioritise those. A software developer, data analyst, IT support associate and technical sales trainee will not need identical preparation.
2. Build one small project that proves a skill
A finished project gives you something concrete to discuss in an interview. A data candidate might create a simple dashboard from a public dataset. A developer could publish a small application with a clear README. Someone targeting tech sales could prepare a sample prospect list and explain the research process. Keep the scope manageable and be honest about what you did.
3. Learn AI as a tool—not as a magic shortcut
If AI tools are relevant to your target role, learn how to use them to speed up research, explore alternatives or check your work. Then verify the output. Employers still need people who can spot mistakes, protect confidential information and explain why a result makes sense. Listing an AI tool on your résumé is less convincing than showing how you used it responsibly.
4. Practise explaining your thinking
Interviewers are not only listening for the final answer. They may want to understand how you approach a problem, what you tried, and what you would do if your first idea failed. Practise describing a project in a simple sequence: the problem, your approach, the result and what you learned. College assignments, volunteering and personal projects can all provide examples.
5. Track applications and learn from patterns
Keep a basic record of the roles you apply for, the skills requested, interview stages and any feedback. If applications get no response, review your role fit and résumé. If you get interviews but struggle with assessments, practise the relevant skills. If you reach final rounds but don’t get offers, work on communicating your contribution and asking thoughtful questions. One rejection is not a verdict; repeated patterns can be useful information.
A realistic 30-day plan for freshers
- Days 1–3 — Choose a target: Select one main role and one backup role. Compare real job descriptions and write down the most common requirements.
- Days 4–10 — Practise core skills: Spend focused time on two or three high-priority skills. Use small exercises rather than only watching tutorials.
- Days 11–18 — Build proof: Complete one compact project or work sample. Document your role, tools, decisions and lessons learned.
- Days 19–23 — Improve your application: Tailor your résumé to the target role. Put relevant skills and project evidence where recruiters can find them quickly.
- Days 24–30 — Apply and review: Apply to suitable openings, practise interview questions and review what is or isn’t working. Adjust your plan based on evidence.
Don’t overlook roles beyond the obvious tech titles
When people hear ‘tech hiring’, they often think only of software engineering. But technology businesses also need technical support, implementation, quality assurance, data operations, customer success, business development and sales professionals who can explain products clearly. The right entry point depends on your strengths and the requirements employers are actually listing.
That does not mean applying indiscriminately to every role with ‘technology’ in its description. Look for a reasonable match between your skills, the work and the learning curve. A focused application is usually easier to personalise and discuss than a generic résumé sent everywhere.
How Joblance fits into a smarter search
At Joblance, the aim is to help candidates connect with relevant opportunities and help employers identify suitable people more efficiently. As you explore roles, pay attention to the skills each position requires and use the application process as a guide for what to prepare next.
Your next step does not have to be a dramatic career overhaul. It might be finishing one project, practising one interview skill or applying to roles that better match your current strengths. Small, specific improvements can make your search more intentional.
Explore opportunities and career resources at joblance.in.
The takeaway
India’s technology job market may be recovering, but freshers should not assume that every new opening is an entry-level opportunity. The smartest response is to get specific: understand the roles you want, practise the skills those roles require, create proof of your ability and use each application to learn. You can’t control the entire hiring market—but you can make your next step more focused.
Research notes and sources
Research checked on 21 October 2026. Statistics below are attributed to the named reports and reflect the periods and measures described by those publishers. Hiring indicators change over time; confirm the latest report before republishing numerical claims.
- The Times of India, 5 October 2026 — “India’s active tech job openings reach 18-month high in Oct” (reports Xpheno’s Active Tech Jobs Outlook).
https://timesofindia.indiatimes.com/business/india-business/indias-active-tech-job-openings-reach-18-month-high-in-oct/amp_articleshow/134714954.cms - Naukri JobSpeak, 6 October 2026 — “White-collar hiring holds steady in September; AI/ML roles continue growth streak.”
https://www.naukri.com/blog/naukri-jobspeak-october-2026-white-collar-hiring-ai-ml-growth/ - India Today, 7 October 2026 — “AI jobs hiring surges 20%, but freshers gain just 1%: What Naukri data shows.”
https://www.indiatoday.in/jobs/deep-dive/story/ai-jobs-hiring-surges-20-but-freshers-gain-just-1-what-naukri-data-shows-3011550-2026-10-07